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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
This paper offers a detailed review of the cutting-edge technology involved in digital image processing it pertains to the use of satellite-based sensors to acquire remote sensed pictures. It is possible to classify remote sensing image processing methods into four broad categories: image pre-processing, enhancement, transformation, and classification. Image pre-processing is the stage whereby distortions in the form of radiometric distortions, atmospheric distortions, and geometric distortions in the original image are eliminated. The data is preprocessed, and then enhancement methods are employed so that the picture can be shown clearly and read by the human eye. It consists of methods such as differentiating surface aspects and visual interpretation. Effective thematic maps of specific land use and land cover may be created by a combination of transformation, which seeks to identify specific features of Earth's surface, and classification, which groups the pixels.
Keyword
Digital image processing, Satellite-based sensors, enhancement, transformation, and classification.
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